현장 맞춤형 MES의 구축 및 효과분석

심현식 ( Hyun Sik Sim ),원중연 ( Joong Yeon Won ) 한국경영공학회 2016 한국경영공학회지 Vol.21 No.2

MES(Manufacturing Execution System) is a management system for supporting various manufacturing activities in the manufacturing line. Recently MES has been introduced by many large manufacturing companies in order to reduce the gap between the production plan and execution in the field, by providing the real-time information for the status of the manufacturing field. But for the small and medium-sized manufacturing companies with variety of products, for example LED manufacturing companies, it is difficult to collect and control the production status in real time, because all the tasks in the line are done by hands by the operators. Furthermore, MES for the small and medium-sized manufacturing companies must be designed to reflect the user’s requirements and manufacturing process lines. However, existing MES solutions have difficulties in reflecting these requirements and controlling the manufacturing process. In this paper, we propose a flexible MES implementation approach for the small and medium-sized manufacturing companies, which analyzes the possible problems in controlling process, extracts key factors considering the user’s requirements, and constructs MES modules by mapping key factors into MES system. We implement the proposed flexible MES approach to the LED manufacturing company and illustrate the effectiveness of the flexible MES.

데이터 공학 : 데이터마이닝 기법을 이용한 PCB 제조라인의 불량 혐의 공정 및 설비 분석

심현식 ( Hyun Sik Sim ),김창욱 ( Chang Ouk Kim ) 한국정보처리학회 2015 정보처리학회논문지. 소프트웨어 및 데이터 공학 Vol.4 No.2

PCB(Printed Circuit Board) 제조공정에서의 수율은 제품의 원가와 품질을 결정하는 중요한 관리 요인이다. PCB 제조공정은 일반적으로 많은 단계의 미세공정을 거쳐서 제품인 칩(Chip)이 생산되기 때문에 높은 수율을 보장하기가 현실적으로 어렵다. 제품의 수율을 향상시키기 위해서는 저수율의 원인이 되는 불량요인을 분석하고, 불량요인에 영향을 미치는 중요공정 및 설비를 찾아서 관리해야 한다. 본 연구는 로지스틱 회귀분석 및 변수선택법을 이용하여 혐의공정 및 설비를 찾는 방법을 제안하였다. 데이터는 실제 현장의 로트 데이터를 사용하였고, 각 로트는 진행한 설비 및 불량유형별 불량수를 갖고 있다. 또한 분석 결과는 실제 현장 확인을 통하여 수율에 미치는 영향을 확인하였다. In the PCB(Printed Circuit Board) manufacturing industry, the yield is an important management factor because it affects the product cost and quality significantly. In real situation, it is very hard to ensure a high yield in a manufacturing shop because products called chips are made through hundreds of nano-scale manufacturing processes. Therefore, in order to improve the yield, it is necessary to analyze main fault process and equipment that cause low PCB yield. This paper proposes a systematic approach to discover fault-causing processes and equipment by using a logistic regression and a stepwise variable selection procedure. We tested our approach with lot trace records of real work-site. A lot trace record consists of the equipment sequence that the lot passed through and the number of faults for each fault type in the lot. We demonstrated that the test results reflected the real situation of a PCB manufacturing line.

Analysis of Key Parameters in PBGA Manufacturing Process Using Heuristic Approach and General Regression Neural Network

심현식(Hyun Sik Sim) Korean Society for Precision Engineering 2021 한국정밀공학회지 Vol.38 No.4

In the printed circuit board (PCB) manufacturing industry, the yield is an important management factor as it significantly affects the product cost and quality. However, in real situations, it is difficult to ensure a high yield in a manufacturing process, because the products are manufactured through numerous nanoscale manufacturing operations. Thus, for improving the yield, it is necessary to analyze the key process parameters and equipment parameters that result in a low yield. In this study, critical equipment parameters that affect the yield were extracted through a mutual analysis of the equipment parameters (x) and process parameters (y) in the plastic ball grid array (PBGA) manufacturing process. To this end, the study uses the correlation coefficient to apply the heuristic algorithm that extracts critical parameters that keep the redundancy among the equipment parameters to a minimum and exert maximum impact on the critical process parameters. Additionally, by using the general regression neural network technique, the effects of the critical equipment parameters on the process parameters were confirmed. The test results were applied to the PBGA production line and an improvement in the yield was confirmed.

상관계수 기반 휴리스틱 기법과 GRNN을 이용한 PCB 공정에서의 중요 설비변수 추출

심현식 ( Hyun Sik Sim ) 한국경영공학회 2015 한국경영공학회지 Vol.20 No.2

In the PCB(Printed Circuit Board) manufacturing industry, the yield is an important management factor because it affects the product cost and quality significantly. In real situation, it is very difficult to ensure a high yield in a manufacturing shop because products called chips are made through hundreds of nano-scale manufacturing processes. Therefore, in order to improve the yield, it is necessary to analyze main fault process parameters and equipment parameters that cause a low PCB yield. This study extracts the critical equipment parameters that affect the yield through mutual analysis of equipment parameters(x) and the process parameters(y) generated in the processes of PCB manufacturing line. By using the correlation coefficients, the process parameters while minimizing the redundancy between equipment parameters were applied to extract the huristic algorithm critical equipment parameters that have the greatest impact. Also, by applying the GRNN, critical equipment parameters it was confirmed that affect the process parameters. We demonstrated that the test results reflected the real situation of a PCB manufacturing line.

A Study on the Development of Smart Factory Equipment Engineering System and Effects

Hyun Sik Sim(심현식) Korean Society for Precision Engineering 2019 한국정밀공학회지 Vol.36 No.2

The Smart Factory Equipment Engineering System collects and monitors necessary information in real-time. While putting the product into the equipment, operation conditions are lowered through a Recipe Management System. The working conditions are set by Run-to-Run a system for real-time detection and control through Fault Detection Classification function. In this study, the smart factory equipment system associated with the entire system is proposed by defining and integrating the necessary equipment management functions from a smart factory’s point of view. To do this, detailed analysis and process improvement on products, processes, and production line equipment were conducted and implemented in the smart factory equipment engineering system. The models proposed in this paper have been implemented to the production site of BGA-PCB. It has been confirmed that the models have resulted in significant change, and have qualitative and quantitative impacts on the working methods of equipment. Typically, data collection time, data entry time, and manual writing sheets were greatly reduced.

이동 차량 탑재용 전자기 베어링 시스템 설계

김하용(Kim, Ha-Yong),심현식(Sim, Hyun-Sik),이종원(Lee, Chong-Won),강태하(Kang, Tae-Ha) 한국소음진동공학회 2005 한국소음진동공학회 논문집 Vol.15 No.3

The active magnetic bearing (AMB) systems mounted in moving vehicles are exposed to the disturbances due to the base motion, often leading to malfunction or damage as well as inaccurate positioning of the systems. Thus, in the controller design of such AMB systems, robustness to base disturbances becomes an essential requirement. In this study, effective control schemes are proposed for the homo-polar AMB system, which uses permanent magnets for generation of bias magnetic flux, when it is subject to base motion, and its control performance is experimentally evaluated. The base motion of AMB system is modeled as the dynamic disturbances in the gravity and base excitation forces. To effectively compensate for the disturbances, the angle feed-forward controller based on the inverse dynamic model and the acceleration feed-forward controller based on the normalized filtered-X LMS algorithm are proposed. The performance test of the prototype AMB system is carried out, when the system is mounted on rate table. The experimental results show that the performance of the proposed controllers for the AMB system is satisfactory in compensating for the disturbances due to the base motion.

장애인 주차구역 불법주차 방지 시스템

김민성(Min-Seong Kim),심현식(Hyeon-Sik Sim),오준석(June-Seok Oh),이익현(Ik Hyun Lee) 한국정보기술학회 2023 Proceedings of KIIT Conference Vol.2023 No.11

이동 차량 탑재용 전자기 베어링 시스템 설계

김하용(Ha-Yong Kim),심현식(Hyun-Sik Sim),이종원(Chong-Won Lee),강태하(Tae-Ha Kang) 한국소음진동공학회 2004 한국소음진동공학회 학술대회논문집 Vol.2004 No.11